ZOTAC ZBOX-ECM73070C/53060C
Geekbench AI Score
893
Single Precision Score
300
Half Precision Score
969
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | oleker |
| Upload Date | August 18 2024 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ZOTAC ZBOX-ECM73070C/53060C |
| Motherboard | ZOTAC ZBOX-ECM73070C/53060C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
97% |
800
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
549
8.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1248
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
87% |
2208
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.93 IPS |
|
|
Object Detection (Q)
|
86% |
517
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
156
1.85 IPS |
|
|
Face Detection (Q)
|
96% |
1446
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1516
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
408
3.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
1524
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3256
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
2378
3.06 IPS |
|
|
Style Transfer (Q)
|
87% |
4493
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
925
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.3 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.8 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.5 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
60% |
739
16.5 IPS |
